Performance comparison and current challenges of using machine learning techniques in cybersecurity
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …
world is becoming more and more dependent on the internet for everyday living. The …
Zero-day attack detection: a systematic literature review
With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Hybrid intrusion detection using mapreduce based black widow optimized convolutional long short-term memory neural networks
PR Kanna, P Santhi - Expert Systems with Applications, 2022 - Elsevier
The recent advancements in information and communication technologies have led to an
increasing number of online systems and services. These online systems can utilize …
increasing number of online systems and services. These online systems can utilize …
IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks
With the emergence of ever-advancing network threats, the guarantee of system security
becomes increasingly crucial, especially in the dynamic and decentralized ad-hoc networks …
becomes increasingly crucial, especially in the dynamic and decentralized ad-hoc networks …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …
applications, databases, services, and people at work. The IIoT is improving our lives in …
Hybridizing genetic algorithm and grey wolf optimizer to advance an intelligent and lightweight intrusion detection system for IoT wireless networks
Open wireless sensor networks (WSNs) in Internet of things (IoT) has led to many zero-day
security attacks. Since intrusion detection is a key security solution, this paper presents a …
security attacks. Since intrusion detection is a key security solution, this paper presents a …
[HTML][HTML] Collaborative device-level botnet detection for internet of things
Cyber attacks on the Internet of Things (IoT) have seen a significant increase in recent years.
This is primarily due to the widespread adoption and prevalence of IoT within domestic and …
This is primarily due to the widespread adoption and prevalence of IoT within domestic and …
Robust attack detection approach for IIoT using ensemble classifier
Generally, the risks associated with malicious threats are increasing for the IIoT and its
related applications due to dependency on the Internet and the minimal resource availability …
related applications due to dependency on the Internet and the minimal resource availability …
Efficient intrusion detection system in the cloud using fusion feature selection approaches and an ensemble classifier
The application of cloud computing has increased tremendously in both public and private
organizations. However, attacks on cloud computing pose a serious threat to confidentiality …
organizations. However, attacks on cloud computing pose a serious threat to confidentiality …